We are designing synthetic DICOM-RT dataset which includes CT image, structure set and dose distribution. Currently DICOM-RT is loaded into Slicer 3.6.3 through Plastimatch extension DICOM/DICOM-RT Export.

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We are designing synthetic DICOM-RT dataset which includes CT image, structure set and dose distribution. The following guidelines are used. We measured the noise power spectrum of a real CT image and constructed synthetic image with exactly the same spectrum. Then we included "skin" and one internal spherical structure. Synthetic contours were generated and recorded in labelmap format. Synthetic dose distribution was generated in mha format.

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<h3>Approach, Plan</h3>

<h3>Approach, Plan</h3>

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Currently synthetic DICOM-RT is loaded into Slicer 3.6.3 from file through Plastimatch extension DICOM/DICOM-RT Import. We plan to build Plastimatch command line module that will allow us to create synthetic image, structures and dose distribution interactively according to user's needs.

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Synthetic DICOM-RT is designed using following guidelines. We measured the noise power spectrum of a real CT image and constructed synthetic image with exactly the same spectrum. Then we included "skin" and one internal spherical structure. Synthetic contours were generated and recorded in labelmap format.

Figure out the best representation in ITK and Slicer4 for various RT and related datastructures.

Objective

We are designing synthetic DICOM-RT dataset which includes CT image, structure set and dose distribution. The following guidelines are used. We measured the noise power spectrum of a real CT image and constructed synthetic image with exactly the same spectrum. Then we included "skin" and one internal spherical structure. Synthetic contours were generated and recorded in labelmap format. Synthetic dose distribution was generated in mha format.

Approach, Plan

Currently synthetic DICOM-RT is loaded into Slicer 3.6.3 from file through Plastimatch extension DICOM/DICOM-RT Import. We plan to build Plastimatch command line module that will allow us to create synthetic image, structures and dose distribution interactively according to user's needs.